RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

The triage guide is intended to make sure patients get appropriate care, especially with the rise in telehealth and ...

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

Amazon’s smart doorbell maker Ring has terminated a partnership with police surveillance tech company Flock Safety. The ...

A recent review concluded that artificial intelligence (AI) is rapidly transforming the diagnosis and treatment of haematological malignancies by enhancing diagnostic accuracy and ...

Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...

Data Systems Redefining Competitive Decision Making Professional sports are no longer shaped only by instinct, tradition, or experience passed down through coaching trees. Over the last decade, ...

Image courtesy by QUE.com Artificial intelligence can feel like an abstract concept—something that happens inside massive ...